High-throughput experimental (HTE) techniques are an increasingly important way to accelerate the rate of materials research and development for many technological applications. However, there are very few publications on the reproducibility of the HTE results obtained across different laboratories for the same materials system, and on the associated sample and data exchange standards. Here, we report a comparative study of Zn-Sn-Ti-O thin films materials using high-throughput experimental methods at National Institute of Standards and Technology (NIST) and National Renewable Energy Laboratory (NREL). The thin film sample libraries were synthesized by combinatorial physical vapor deposition (cosputtering and pulsed laser deposition) and characterized by spatially resolved techniques for composition, structure, thickness, optical, and electrical properties. The results of this study indicate that all these measurement techniques performed at two different laboratories show excellent qualitative agreement. The quantitative similarities and differences vary by measurement type, with 95% confidence interval of 0.1-0.2 eV for the band gap, 24-29 nm for film thickness, and 0.08 to 0.37 orders of magnitude for sheet resistance. Overall, this work serves as a case study for the feasibility of a High-Throughput Experimental Materials Collaboratory (HTE-MC) by demonstrating the exchange of high-throughput sample libraries, workflows, and data.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acscombsci.8b00158DOI Listing

Publication Analysis

Top Keywords

high-throughput experimental
16
study zn-sn-ti-o
8
zn-sn-ti-o thin
8
thin films
8
experimental methods
8
sample libraries
8
high-throughput
5
inter-laboratory study
4
films high-throughput
4
experimental
4

Similar Publications

Comprehensive benchmarking of computational tools for predicting toxicokinetic and physicochemical properties of chemicals.

J Cheminform

December 2024

Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Ensuring the safety of chemicals for environmental and human health involves assessing physicochemical (PC) and toxicokinetic (TK) properties, which are crucial for absorption, distribution, metabolism, excretion, and toxicity (ADMET). Computational methods play a vital role in predicting these properties, given the current trends in reducing experimental approaches, especially those that involve animal experimentation. In the present manuscript, twelve software tools implementing Quantitative Structure-Activity Relationship (QSAR) models were selected for the prediction of 17 relevant PC and TK properties.

View Article and Find Full Text PDF

The assessment of persistence of organic pollutants in seawater is limited by the lack of user-friendly, quick protocols for assessing one of their main sinks, degradation by marine bacteria. Here we present an experimental workflow to identify organic pollutants degradation, taking organophosphate esters flame retardants and plasticizers (OPEs-FR-PL), as a model family of synthetic chemicals released into the marine environment that are particularly widespread due to their persistence and semi-volatile nature. The proposed novel workflow combines culture-dependent techniques, solvent demulsification-dispersive liquid-liquid microextraction, with quantitative liquid chromatography coupled with mass spectrometry analyses in order to identify marine bacterial isolates with the potential to degrade OPEs-FR-PL in the marine environment.

View Article and Find Full Text PDF

SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations.

Genomics Proteomics Bioinformatics

December 2024

Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia.

Unlabelled: The accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of catalytic residues in enzymes. Here, we introduce SCREEN, a graph neural network for the high-throughput prediction of catalytic residues via the integration of enzyme functional and structural information.

View Article and Find Full Text PDF

Archived FFPE cardiac tissue specimens are valuable for molecular studies aimed at identifying biomarkers linked to mortality in cardiovascular disease. Establishing a reliable and reproducible RNA extraction method is critical for generating high-quality transcriptome sequences for molecular assays. Here, the efficiency of four RNA extraction methods: Qiagen AllPrep DNA/RNA method (Method QP); Qiagen AllPrep DNA/RNA method with protocol modification on the ethanol wash step after deparaffinization (Method QE); CELLDATA RNA extraction (Method BP) and CELLDATA RNA extraction with protocol modifications on the lysis step (Method BL) was compared on 23 matching FFPE cardiac tissue specimens (n = 92).

View Article and Find Full Text PDF

Deciphering regulatory architectures of bacterial promoters from synthetic expression patterns.

PLoS Comput Biol

December 2024

Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America.

For the vast majority of genes in sequenced genomes, there is limited understanding of how they are regulated. Without such knowledge, it is not possible to perform a quantitative theory-experiment dialogue on how such genes give rise to physiological and evolutionary adaptation. One category of high-throughput experiments used to understand the sequence-phenotype relationship of the transcriptome is massively parallel reporter assays (MPRAs).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!